I import a .txt file with the command tab = np.genfromtxt()
and it creates a kind of matrix. I need to work with its contents.
When I visualize the elements with the command
for i in range n:
print(tab[n][:])
it works and I can use matrix elements with [][]
like if the first is the line number and the second the column one.
Instead when I use the command tab[0][:]
the command is like I used tab[:][0]
, i.e. I can visualize only the line 0 with all its elements (tab[0][:]=tab[:][0]
).
What's the way I can move in a fixed column number and use all the line elements without a cicle "for i in range()" type?
Thank you.
All indices of a numpy array should be in a single []
separated by commas (ie tab[i,j]
), if you provide just one index you get an array with the first dimension equal to that index (a row in this case). So tab[:]
returns the whole matrix again. When you apply [0]
over tab[:]
it's the same as tab[0]
For iterating over columns:
for i in range n:
print(tab[:,n])
For iterating over rows:
for i in range n:
print(tab[n,:])